Computational Intelligence Complex System

Computational Intelligence in Complex Decision Systems (Repost)  eBooks & eLearning

Posted by AvaxGenius at March 25, 2017
Computational Intelligence in Complex Decision Systems (Repost)

Computational Intelligence in Complex Decision Systems By Da Ruan
English | PDF | 398 Pages | 2010 | ISBN : 9491216295 | 8.93 MB

In recent years, there has been a growing interest in the need for designing intelligent systems to address complex decision systems.

Design of Interpretable Fuzzy Systems (Studies in Computational Intelligence)  eBooks & eLearning

Posted by hill0 at Feb. 4, 2017
Design of Interpretable Fuzzy Systems (Studies in Computational Intelligence)

Design of Interpretable Fuzzy Systems (Studies in Computational Intelligence) by Krzysztof Cpalka
English | 6 Mar. 2017 | ISBN: 3319528807 | 196 Pages | PDF | 5.41 MB

This book shows that the term “interpretability” goes far beyond the concept of readability of a fuzzy set and fuzzy rules. It focuses on novel and precise operators of aggregation, inference, and defuzzification leading to flexible Mamdani-type and logical-type systems that can achieve the required accuracy using a less complex rule base.

Computational Intelligence Paradigms: Innovative Applications (Repost)  eBooks & eLearning

Posted by DZ123 at Dec. 15, 2014
Computational Intelligence Paradigms: Innovative Applications (Repost)

Mika Sato-Ilic, Maria Virvou, George A Tsihrintzis, Valentina Emilia Balas, Canicious Abeynayake, "Computational Intelligence Paradigms: Innovative Applications"
English | 2008 | ISBN: 3540794735 | PDF | pages: 280 | 15,7 mb
"Computational Intelligence: Collaboration, Fusion and Emergence" by ed. Christine L.Mumford and Lakhmi C. Jain (Repost)

"Computational Intelligence: Collaboration, Fusion and Emergence" by ed. Christine L.Mumford and Lakhmi C. Jain
Intelligent Systems Reference Library, Volume 1
Springer | 2009 | ISBN: 3642242626 3642017983 9783642017988 9783642017995 9783642242625 | 726 pages | PDF | 15 MB

This book covers a rich and diverse variety of computer-based techniques, all involving some aspect of computational intelligence (CI). Authors recognize the limitations of individual paradigms, and propose some practical and novel ways in which different CI techniques can be combined with each other, or with more traditional computational techniques, to produce powerful problem-solving environments. Common themes to be found in the various chapters of this collection include the following: Fusion, Collaboration, and Emergence.

Wind Power Systems: Applications of Computational Intelligence (repost)  eBooks & eLearning

Posted by arundhati at Oct. 11, 2012
Wind Power Systems: Applications of Computational Intelligence (repost)

Lingfeng Wang, Chanan Singh, "Wind Power Systems: Applications of Computational Intelligence"
2010 | ISBN-10: 3642132499 | 430 pages | PDF | 6 MB

Computational Intelligence in Complex Decision Systems  eBooks & eLearning

Posted by viserion at March 23, 2012
Computational Intelligence in Complex Decision Systems

Da Ruan, "Computational Intelligence in Complex Decision Systems"
Publisher: A//an..s P//ss | ISBN: 9078677279 | 2010 | PDF | 404 pages | 8 MB

Unified Computational Intelligence for Complex Systems  eBooks & eLearning

Posted by sandhu1 at Dec. 9, 2011
Unified Computational Intelligence for Complex Systems

Unified Computational Intelligence for Complex Systems
Springer; 1st Edition | June 30, 2010 | ISBN-10: 364203179X | 150 pages | PDF | 2.4 Mb

Computational intelligence encompasses a wide variety of techniques that allow computation to learn, to adapt, and to seek. That is, they may be designed to learn information without explicit programming regarding the nature of the content to be retained, they may be imbued with the functionality to adapt to maintain their course within a complex and unpredictably changing environment, and they may help us seek out truths about our own dynamics and lives through their inclusion in complex system modeling.

Computational Intelligence Paradigms: Innovative Applications  eBooks & eLearning

Posted by lenami at Dec. 28, 2010
Computational Intelligence Paradigms: Innovative Applications

Computational Intelligence Paradigms: Innovative Applications
Publisher: Springer | ISBN: 3540794735 | edition 2008 | PDF | 280 pages | 14,5 mb

System designers are faced with a large set of data which has to be analysed and processed efficiently. Advanced computational intelligence paradigms present tremendous advantages by offering capabilities such as learning, generalisation and robustness. These capabilities help in designing complex systems which are intelligent and robust.

Computational Intelligence Paradigms: Innovative Applications  eBooks & eLearning

Posted by tot167 at June 19, 2008
Computational Intelligence Paradigms: Innovative Applications

Lakhmi C. Jain, Mika Sato-Ilic, Maria Virvou, George A. Tsihrintzis, Valentina Emilia Balas, Canicious Abeynayake “Computational Intelligence Paradigms: Innovative Applications"
Springer | 2008-06-12 | ISBN: 3540794735 | 282 pages | PDF | 14,5 MB

Interpretability of Computational Intelligence-Based Regression Models (Repost)  eBooks & eLearning

Posted by AvaxGenius at June 11, 2017
Interpretability of Computational Intelligence-Based Regression Models (Repost)

Interpretability of Computational Intelligence-Based Regression Models By Tamás Kenesei, János Abonyi
English | PDF | 2015 | 89 Pages | ISBN : 3319219413 | 3 MB

The key idea of this book is that hinging hyperplanes, neural networks and support vector machines can be transformed into fuzzy models, and interpretability of the resulting rule-based systems can be ensured by special model reduction and visualization techniques. The first part of the book deals with the identification of hinging hyperplane-based regression trees.